Automated Orientation Detection of 3D Head Reconstructions from sMRI Using Multiview Orthographic Projections: An Image Classification-Based Approach

Álvaro Heredia-Lidón, Alejandro González, Carlos Guerrero-Mosquera, Rubèn Gonzàlez-Colom, Luis M. Echeverry, Noemí Hostalet, Raymond Salvador, Edith Pomarol-Clotet, Juan Fortea, Neus Martínez-Abadías, Mar Fatjó-Vilas, Xavier Sevillano

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

Resum

Recent studies in neuropsychiatry have highlighted the correlation between facial and brain dysmorphologies. One way of simultaneously analysing the brain and the face of a subject is by reconstructing a whole-head 3D model from structural magnetic resonance imaging (sMRI). However, the use of different reconstruction protocols generates undesired orthogonal rotations of the 3D models. This is a likely situation in multicentric studies that hampers the combination of data from different centers. Although the original sMRI files contain the subject orientation, it is not always possible to access this data. To solve this issue, in this work we propose a novel method to estimate the orientation of 3D heads with rotations of 90 or multiples thereof around any of the three Cartesian axes as a required step for generating a normalised dataset in terms of orientation. Our proposal creates 2D images from orthogonal projections of the 3D object, transforming orientation estimation into an image classification problem. Experimental results show that our method, using three orthographic views of the 3D head to create the projection image and ResNet50 for classification, achieves an accuracy of 99.7%, which corresponds to 0.15 mean absolute error in rotation, outperforming state-of-the-art point cloud registration methods like DeepBBS and PRNet.

Idioma originalAnglès
Títol de la publicacióPattern Recognition and Image Analysis - 11th Iberian Conference, IbPRIA 2023, Proceedings
EditorsAntonio Pertusa, Antonio Javier Gallego, Joan Andreu Sánchez, Inês Domingues
EditorSpringer Science and Business Media Deutschland GmbH
Pàgines603-614
Nombre de pàgines12
ISBN (imprès)9783031366154
DOIs
Estat de la publicacióPublicada - 2023
Esdeveniment11th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2023 - Alicante, Spain
Durada: 27 de juny 202330 de juny 2023

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum14062 LNCS
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349

Conferència

Conferència11th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2023
País/TerritoriSpain
CiutatAlicante
Període27/06/2330/06/23

Fingerprint

Navegar pels temes de recerca de 'Automated Orientation Detection of 3D Head Reconstructions from sMRI Using Multiview Orthographic Projections: An Image Classification-Based Approach'. Junts formen un fingerprint únic.

Com citar-ho